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The subject presents principles of image processing and functional transforms usage in image analysis. Special attention is paid to colour processing, image segmentation, noise components rejection, image enhancement, data compression, pattern recognition and feature classification including estimation of accuracy and cross-validation errors. Applications include processing of images related to chemistry, material engineering, biochemistry, and biomedicine.
Last update: Mudrová Martina (29.08.2018)
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Student will know how:
Last update: Mudrová Martina (04.06.2018)
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R: Gonzales R., Woods R., Digital Image Processing, Prentice Hall, 2008 A: I.T. Jolliffe: Principal Component Analysis, 2nd ed., Springer-Verlag, New York, 2002
Last update: Mudrová Martina (17.09.2018)
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http://uprt.vscht.cz/prochazka/pedag/lectures/ATHENS_DSP.pdf http://uprt.vscht.cz/prochazka/pedag/lectures/SP0_MATLAB_2006EN.pdf http://basic-eng.blogspot.com/2005/12/object-detection-using-hough-transform.html Last update: Mudrová Martina (04.06.2018)
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Lectures, project focussed on image processing metohod use Last update: Mudrová Martina (04.06.2018)
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nothing Last update: Mudrová Martina (04.06.2018)
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Subject is focussed primarily on 1. Fundamentals of computational, programming and visualization system MATLAB / SIMULINK 2. Mathematical representation of multidimensional signals, image coding 3. Selected numerical methods for image processing: interpolation, approximation 4. Two-dimensional discrete Fourier transform in image analysis and resolution changes 5. Multi-dimensional digital filters in image-denoising 6. Gradient methods in image enhancement 7. Selected methods of image segmentation, feature extraction and classification 8. Discrete wavelet transform in data compression image denoising 9. Computational intelligence in microscopic data analysis and classification 10. Spatial data visualization and processing
Last update: Mudrová Martina (04.06.2018)
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nothing Last update: Mudrová Martina (04.06.2018)
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nothing Last update: Mudrová Martina (04.06.2018)
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Evaluation is based upon the individual project and oral exam Last update: Mudrová Martina (04.06.2018)
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